Pandas Profiling Report

Dataset statistics

Number of variables	97
Number of observations	129
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	97.9 KiB
Average record size in memory	777.0 B

Variable types

Categorical	61
Numeric	36

Alerts

`HE` has constant value ""	Constant
`VARSTA_ELIFT` has constant value ""	Constant
`CHILD_clasif` is highly imbalanced (60.5%)	Imbalance
`DAA_after_dg` is highly imbalanced (72.9%)	Imbalance
`gastricV` is highly imbalanced (72.9%)	Imbalance
`secondary_prophylaxy` is highly imbalanced (80.1%)	Imbalance
`PVT_Thrombosis` is highly imbalanced (81.0%)	Imbalance
`Ascites` is highly imbalanced (50.5%)	Imbalance
`Previous_decomp` is highly imbalanced (63.5%)	Imbalance
`Major_surgery` is highly imbalanced (55.4%)	Imbalance
`Transfusion_IOP` is highly imbalanced (50.5%)	Imbalance
`Resection_Margin` is highly imbalanced (61.8%)	Imbalance
`Use_of_vasoactives` is highly imbalanced (76.3%)	Imbalance
`Ventil_Mecan` is highly imbalanced (69.6%)	Imbalance
`Number_of_Organ_Failures` is highly imbalanced (76.0%)	Imbalance
`ACLF_Grade` is highly imbalanced (78.4%)	Imbalance
`HRS_post_op` is highly imbalanced (80.1%)	Imbalance
`disf_renala_nonHRS_post_op` is highly imbalanced (50.5%)	Imbalance
`HE_post_op` is highly imbalanced (84.1%)	Imbalance
`JaundiceBTgt3` is highly imbalanced (76.3%)	Imbalance
`HDS_postop` is highly imbalanced (88.5%)	Imbalance
`FIB4_3.74` is highly imbalanced (63.5%)	Imbalance
`FIB_3.74` is highly imbalanced (63.5%)	Imbalance
`CRP_Albumine_ratio` has 2 (1.6%) infinite values	Infinite
`df_index` is uniformly distributed	Uniform
`FIB4` has unique values	Unique
`df_index` has unique values	Unique
`Spleen` has 2 (1.6%) zeros	Zeros
`LiverStiffnes` has 9 (7.0%) zeros	Zeros
`Creatinine` has 2 (1.6%) zeros	Zeros
`Albumine` has 2 (1.6%) zeros	Zeros
`Blood_Loss` has 23 (17.8%) zeros	Zeros

Reproduction

Analysis started	2023-12-14 09:16:58.235004
Analysis finished	2023-12-14 09:17:56.592967
Duration	58.36 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

Survival
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	72
0.0	56
11.0	1

Length

Max length	4
Median length	3
Mean length	3.0077519
Min length	3

Characters and Unicode

Total characters	388
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	72	55.8%
0.0	56	43.4%
11.0	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	72	55.8%
0.0	56	43.4%
11.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	185	47.7%
.	129	33.2%
1	74	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	259	66.8%
Other Punctuation	129	33.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	185	71.4%
1	74	28.6%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	388	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	185	47.7%
.	129	33.2%
1	74	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	185	47.7%
.	129	33.2%
1	74	19.1%

CHILD_score
Real number (ℝ)

Distinct	6
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4883721

Minimum	5
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	5
5-th percentile	5
Q1	5
median	5
Q3	5
95-th percentile	8
Maximum	10
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.0240566
Coefficient of variation (CV)	0.18658658
Kurtosis	4.7100387
Mean	5.4883721
Median Absolute Deviation (MAD)	0
Skewness	2.2707936
Sum	708
Variance	1.0486919
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	98	76.0%
6	13	10.1%
7	8	6.2%
8	7	5.4%
9	2	1.6%
10	1	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	98	76.0%
6	13	10.1%
7	8	6.2%
8	7	5.4%
9	2	1.6%
10	1	0.8%

Value	Count	Frequency (%)
10	1	0.8%
9	2	1.6%
8	7	5.4%
7	8	6.2%
6	13	10.1%
5	98	76.0%

CHILD_clasif
Categorical

IMBALANCE

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	111
1.0	17
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	111	86.0%
1.0	17	13.2%
3.0	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	111	86.0%
1.0	17	13.2%
3.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	240	62.0%
.	129	33.3%
1	17	4.4%
3	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	240	93.0%
1	17	6.6%
3	1	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	240	62.0%
.	129	33.3%
1	17	4.4%
3	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	240	62.0%
.	129	33.3%
1	17	4.4%
3	1	0.3%

Nr_nodules
Real number (ℝ)

Distinct	6
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3875969

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.88661996
Coefficient of variation (CV)	0.63896076
Kurtosis	9.3601702
Mean	1.3875969
Median Absolute Deviation (MAD)	0
Skewness	2.9089378
Sum	179
Variance	0.78609496
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	100	77.5%
2	17	13.2%
3	7	5.4%
4	2	1.6%
5	2	1.6%
6	1	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	100	77.5%
2	17	13.2%
3	7	5.4%
4	2	1.6%
5	2	1.6%
6	1	0.8%

Value	Count	Frequency (%)
6	1	0.8%
5	2	1.6%
4	2	1.6%
3	7	5.4%
2	17	13.2%
1	100	77.5%

BCLC_class
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	61
2.0	41
3.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	61	47.3%
2.0	41	31.8%
3.0	27	20.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	61	47.3%
2.0	41	31.8%
3.0	27	20.9%

Most occurring characters

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	61	15.8%
2	41	10.6%
3	27	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	129	50.0%
1	61	23.6%
2	41	15.9%
3	27	10.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	61	15.8%
2	41	10.6%
3	27	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	61	15.8%
2	41	10.6%
3	27	7.0%

Age
Real number (ℝ)

Distinct	29
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.449612

Minimum	48
Maximum	83
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	48
5-th percentile	54
Q1	61
median	65
Q3	70
95-th percentile	76.6
Maximum	83
Range	35
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.8121688
Coefficient of variation (CV)	0.10408265
Kurtosis	-0.11789065
Mean	65.449612
Median Absolute Deviation (MAD)	4
Skewness	-0.051754494
Sum	8443
Variance	46.405644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
65	12	9.3%
69	8	6.2%
62	8	6.2%
63	8	6.2%
59	8	6.2%
64	8	6.2%
66	7	5.4%
57	6	4.7%
73	6	4.7%
67	5	3.9%
Other values (19)	53	41.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	0.8%
50	2	1.6%
52	3	2.3%
54	2	1.6%
56	2	1.6%
57	6	4.7%
58	3	2.3%
59	8	6.2%
60	1	0.8%
61	5	3.9%

Value	Count	Frequency (%)
83	1	0.8%
81	1	0.8%
78	2	1.6%
77	3	2.3%
76	3	2.3%
75	1	0.8%
74	5	3.9%
73	6	4.7%
72	5	3.9%
71	3	2.3%

Sex
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	101
2.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	101	78.3%
2.0	28	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	101	78.3%
2.0	28	21.7%

Most occurring characters

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	101	26.1%
2	28	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	129	50.0%
1	101	39.1%
2	28	10.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	101	26.1%
2	28	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	101	26.1%
2	28	7.2%

Etiology
Categorical

Distinct	5
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2.0	56
1.0	41
3.0	26
5.0	4
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	3.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	56	43.4%
1.0	41	31.8%
3.0	26	20.2%
5.0	4	3.1%
4.0	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	56	43.4%
1.0	41	31.8%
3.0	26	20.2%
5.0	4	3.1%
4.0	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
2	56	14.5%
1	41	10.6%
3	26	6.7%
5	4	1.0%
4	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	129	50.0%
2	56	21.7%
1	41	15.9%
3	26	10.1%
5	4	1.6%
4	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
2	56	14.5%
1	41	10.6%
3	26	6.7%
5	4	1.0%
4	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
2	56	14.5%
1	41	10.6%
3	26	6.7%
5	4	1.0%
4	2	0.5%

DAA_before_dg
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	113
1.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	113	87.6%
1.0	16	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	113	87.6%
1.0	16	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	242	93.8%
1	16	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

DAA_after_dg
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	123
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	6	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	6	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	252	97.7%
1	6	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

EV
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	92
1.0	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	92	71.3%
1.0	37	28.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	92	71.3%
1.0	37	28.7%

Most occurring characters

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	37	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	221	85.7%
1	37	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	37	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	37	9.6%

Grade
Categorical

Distinct	4
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	92
1.0	18
2.0	16
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	92	71.3%
1.0	18	14.0%
2.0	16	12.4%
3.0	3	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	92	71.3%
1.0	18	14.0%
2.0	16	12.4%
3.0	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	18	4.7%
2	16	4.1%
3	3	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	221	85.7%
1	18	7.0%
2	16	6.2%
3	3	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	18	4.7%
2	16	4.1%
3	3	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	221	57.1%
.	129	33.3%
1	18	4.7%
2	16	4.1%
3	3	0.8%

gastricV
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	123
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	6	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	6	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	252	97.7%
1	6	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	6	1.6%

HTP_gastropathy
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	107
1.0	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	107	82.9%
1.0	22	17.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	107	82.9%
1.0	22	17.1%

Most occurring characters

Value	Count	Frequency (%)
0	236	61.0%
.	129	33.3%
1	22	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	236	91.5%
1	22	8.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	236	61.0%
.	129	33.3%
1	22	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	236	61.0%
.	129	33.3%
1	22	5.7%

primary_prophylaxis_0nu_1da
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	110
1.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	110	85.3%
1.0	19	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	110	85.3%
1.0	19	14.7%

Most occurring characters

Value	Count	Frequency (%)
0	239	61.8%
.	129	33.3%
1	19	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	239	92.6%
1	19	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	239	61.8%
.	129	33.3%
1	19	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	239	61.8%
.	129	33.3%
1	19	4.9%

secondary_prophylaxy
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	125
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	125	96.9%
1.0	4	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	125	96.9%
1.0	4	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	254	98.4%
1	4	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

PVT_Thrombosis
Categorical

IMBALANCE

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	123
1.0	5
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	5	3.9%
2.0	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	123	95.3%
1.0	5	3.9%
2.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	5	1.3%
2	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	252	97.7%
1	5	1.9%
2	1	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	5	1.3%
2	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	252	65.1%
.	129	33.3%
1	5	1.3%
2	1	0.3%

Spleen
Real number (ℝ)

ZEROS

Distinct	43
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.2796

Minimum	0
Maximum	200
Zeros	2
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	90
Q1	119
median	122
Q3	140
95-th percentile	178.4
Maximum	200
Range	200
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	29.333018
Coefficient of variation (CV)	0.23046126
Kurtosis	4.6748369
Mean	127.2796
Median Absolute Deviation (MAD)	12
Skewness	-0.79421868
Sum	16419.069
Variance	860.42595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
119	27	20.9%
129.4712644	15	11.6%
140	8	6.2%
150	7	5.4%
90	6	4.7%
110	6	4.7%
160	6	4.7%
120	5	3.9%
115	4	3.1%
125	3	2.3%
Other values (33)	42	32.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	1.6%
72	1	0.8%
77	1	0.8%
85	1	0.8%
87	1	0.8%
90	6	4.7%
100	3	2.3%
103	1	0.8%
105	2	1.6%
109	1	0.8%

Value	Count	Frequency (%)
200	1	0.8%
195	1	0.8%
190	3	2.3%
180	2	1.6%
176	1	0.8%
170	2	1.6%
167	1	0.8%
165	1	0.8%
160	6	4.7%
158	1	0.8%

Splenomegaly_0no
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1	65
0	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	129
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Most occurring characters

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	129	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	129	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	65	50.4%
0	64	49.6%

Platelets
Real number (ℝ)

Distinct	100
Distinct (%)	77.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	146.87597

Minimum	24
Maximum	385
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	24
5-th percentile	56.4
Q1	90
median	141
Q3	182
95-th percentile	279.6
Maximum	385
Range	361
Interquartile range (IQR)	92

Descriptive statistics

Standard deviation	72.150776
Coefficient of variation (CV)	0.49123609
Kurtosis	0.76043307
Mean	146.87597
Median Absolute Deviation (MAD)	46
Skewness	0.93075605
Sum	18947
Variance	5205.7345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
147	4	3.1%
117	4	3.1%
67	3	2.3%
169	3	2.3%
145	3	2.3%
139	2	1.6%
89	2	1.6%
137	2	1.6%
95	2	1.6%
52	2	1.6%
Other values (90)	102	79.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	1	0.8%
42	1	0.8%
43	1	0.8%
49	1	0.8%
52	2	1.6%
56	1	0.8%
57	1	0.8%
58	1	0.8%
64	1	0.8%
66	2	1.6%

Value	Count	Frequency (%)
385	1	0.8%
370	1	0.8%
330	1	0.8%
322	1	0.8%
307	1	0.8%
300	1	0.8%
280	1	0.8%
279	1	0.8%
274	1	0.8%
271	1	0.8%

Platelets_less_100000
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	91
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	91	70.5%
1.0	38	29.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	91	70.5%
1.0	38	29.5%

Most occurring characters

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	220	85.3%
1	38	14.7%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

splenomegaly_Tr_sub_10
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	101
1.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	101	78.3%
1.0	28	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	101	78.3%
1.0	28	21.7%

Most occurring characters

Value	Count	Frequency (%)
0	230	59.4%
.	129	33.3%
1	28	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	230	89.1%
1	28	10.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	230	59.4%
.	129	33.3%
1	28	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	230	59.4%
.	129	33.3%
1	28	7.2%

HE
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	129

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	129	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	129	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	258	66.7%
.	129	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	258	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	258	66.7%
.	129	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	258	66.7%
.	129	33.3%

Ascites
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	115
1.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Most occurring characters

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	244	94.6%
1	14	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

LiverStiffnes
Real number (ℝ)

ZEROS

Distinct	78
Distinct (%)	60.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.25969

Minimum	0
Maximum	75
Zeros	9
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10.5
median	13.9
Q3	21.8
95-th percentile	43.3
Maximum	75
Range	75
Interquartile range (IQR)	11.3

Descriptive statistics

Standard deviation	13.03972
Coefficient of variation (CV)	0.75550141
Kurtosis	4.040954
Mean	17.25969
Median Absolute Deviation (MAD)	5
Skewness	1.7157921
Sum	2226.5
Variance	170.0343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.9	35	27.1%
0	9	7.0%
24.1	2	1.6%
11.1	2	1.6%
11.8	2	1.6%
38	2	1.6%
14.3	2	1.6%
6.8	2	1.6%
9	2	1.6%
6.6	2	1.6%
Other values (68)	69	53.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	7.0%
3.3	1	0.8%
4	1	0.8%
4.3	1	0.8%
4.6	1	0.8%
4.7	1	0.8%
4.9	1	0.8%
5.8	1	0.8%
6	1	0.8%
6.1	1	0.8%

Value	Count	Frequency (%)
75	1	0.8%
66.4	1	0.8%
55.1	1	0.8%
50	1	0.8%
48.9	1	0.8%
47	1	0.8%
46.5	1	0.8%
38.5	1	0.8%
38	2	1.6%
37.2	1	0.8%

FS_19kPa
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	91
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	91	70.5%
1.0	38	29.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	91	70.5%
1.0	38	29.5%

Most occurring characters

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	220	85.3%
1	38	14.7%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	220	56.8%
.	129	33.3%
1	38	9.8%

FS_13.6
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	84
1.0	45

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	84	65.1%
1.0	45	34.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	84	65.1%
1.0	45	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	213	55.0%
.	129	33.3%
1	45	11.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	213	82.6%
1	45	17.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	213	55.0%
.	129	33.3%
1	45	11.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	213	55.0%
.	129	33.3%
1	45	11.6%

CSPH
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	71
1.0	58

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	71	55.0%
1.0	58	45.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	71	55.0%
1.0	58	45.0%

Most occurring characters

Value	Count	Frequency (%)
0	200	51.7%
.	129	33.3%
1	58	15.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	200	77.5%
1	58	22.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	200	51.7%
.	129	33.3%
1	58	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	200	51.7%
.	129	33.3%
1	58	15.0%

HVPG
Real number (ℝ)

Distinct	21
Distinct (%)	16.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.023256

Minimum	2
Maximum	27
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	9
Q3	14
95-th percentile	18
Maximum	27
Range	25
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.317226
Coefficient of variation (CV)	0.53048891
Kurtosis	0.15556989
Mean	10.023256
Median Absolute Deviation (MAD)	4
Skewness	0.75075296
Sum	1293
Variance	28.272892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
8	13	10.1%
4	13	10.1%
9	11	8.5%
7	11	8.5%
6	9	7.0%
13	9	7.0%
18	7	5.4%
3	7	5.4%
14	7	5.4%
10	7	5.4%
Other values (11)	35	27.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	1.6%
3	7	5.4%
4	13	10.1%
5	6	4.7%
6	9	7.0%
7	11	8.5%
8	13	10.1%
9	11	8.5%
10	7	5.4%
11	2	1.6%

Value	Count	Frequency (%)
27	1	0.8%
24	2	1.6%
23	1	0.8%
21	2	1.6%
18	7	5.4%
17	4	3.1%
16	4	3.1%
15	5	3.9%
14	7	5.4%
13	9	7.0%

MELD_8
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	101
0.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	101	78.3%
0.0	28	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	101	78.3%
0.0	28	21.7%

Most occurring characters

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	157	60.9%
1	101	39.1%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

CSPH_MELD_10
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	96
1.0	33

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	96	74.4%
1.0	33	25.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	96	74.4%
1.0	33	25.6%

Most occurring characters

Value	Count	Frequency (%)
0	225	58.1%
.	129	33.3%
1	33	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	225	87.2%
1	33	12.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	225	58.1%
.	129	33.3%
1	33	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	225	58.1%
.	129	33.3%
1	33	8.5%

MELD_more_than_10
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	85
1.0	44

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	85	65.9%
1.0	44	34.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	85	65.9%
1.0	44	34.1%

Most occurring characters

Value	Count	Frequency (%)
0	214	55.3%
.	129	33.3%
1	44	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	214	82.9%
1	44	17.1%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	214	55.3%
.	129	33.3%
1	44	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	214	55.3%
.	129	33.3%
1	44	11.4%

MELD
Real number (ℝ)

Distinct	13
Distinct (%)	10.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.4806202

Minimum	6
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	6
5-th percentile	6.4
Q1	8
median	9
Q3	11
95-th percentile	16
Maximum	19
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.79816
Coefficient of variation (CV)	0.29514525
Kurtosis	1.8705312
Mean	9.4806202
Median Absolute Deviation (MAD)	2
Skewness	1.4106721
Sum	1223
Variance	7.8296996
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
8	34	26.4%
7	22	17.1%
9	20	15.5%
11	14	10.9%
10	9	7.0%
6	7	5.4%
13	6	4.7%
12	5	3.9%
16	4	3.1%
14	4	3.1%
Other values (3)	4	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	7	5.4%
7	22	17.1%
8	34	26.4%
9	20	15.5%
10	9	7.0%
11	14	10.9%
12	5	3.9%
13	6	4.7%
14	4	3.1%
16	4	3.1%

Value	Count	Frequency (%)
19	2	1.6%
18	1	0.8%
17	1	0.8%
16	4	3.1%
14	4	3.1%
13	6	4.7%
12	5	3.9%
11	14	10.9%
10	9	7.0%
9	20	15.5%

MELDNa
Real number (ℝ)

Distinct	15
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.062016

Minimum	6
Maximum	26
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	6
5-th percentile	7
Q1	8
median	9
Q3	11
95-th percentile	16.6
Maximum	26
Range	20
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.4770496
Coefficient of variation (CV)	0.34556194
Kurtosis	4.2182314
Mean	10.062016
Median Absolute Deviation (MAD)	1
Skewness	1.8443386
Sum	1298
Variance	12.089874
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
8	35	27.1%
9	20	15.5%
7	15	11.6%
10	12	9.3%
11	10	7.8%
13	8	6.2%
12	6	4.7%
6	6	4.7%
14	6	4.7%
16	4	3.1%
Other values (5)	7	5.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	6	4.7%
7	15	11.6%
8	35	27.1%
9	20	15.5%
10	12	9.3%
11	10	7.8%
12	6	4.7%
13	8	6.2%
14	6	4.7%
16	4	3.1%

Value	Count	Frequency (%)
26	1	0.8%
22	1	0.8%
20	2	1.6%
19	2	1.6%
17	1	0.8%
16	4	3.1%
14	6	4.7%
13	8	6.2%
12	6	4.7%
11	10	7.8%

AST
Real number (ℝ)

Distinct	79
Distinct (%)	61.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.457364

Minimum	13
Maximum	331
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	13
5-th percentile	18
Q1	26.2
median	36
Q3	54
95-th percentile	106.8
Maximum	331
Range	318
Interquartile range (IQR)	27.8

Descriptive statistics

Standard deviation	42.517342
Coefficient of variation (CV)	0.87741754
Kurtosis	20.902677
Mean	48.457364
Median Absolute Deviation (MAD)	13
Skewness	4.0352866
Sum	6251
Variance	1807.7243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	6	4.7%
29	5	3.9%
34	4	3.1%
36	4	3.1%
31	3	2.3%
51	3	2.3%
33	3	2.3%
26	3	2.3%
52	3	2.3%
55	3	2.3%
Other values (69)	92	71.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.8%
14	1	0.8%
15	1	0.8%
17	2	1.6%
18	3	2.3%
19	3	2.3%
20	2	1.6%
21	3	2.3%
22	2	1.6%
23	6	4.7%

Value	Count	Frequency (%)
331	1	0.8%
261	1	0.8%
226	1	0.8%
132	1	0.8%
117	1	0.8%
116	1	0.8%
108	1	0.8%
105	1	0.8%
103	1	0.8%
90	3	2.3%

ALT
Real number (ℝ)

Distinct	72
Distinct (%)	55.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.226357

Minimum	7
Maximum	265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	7
5-th percentile	11.4
Q1	21
median	29
Q3	52
95-th percentile	104.2
Maximum	265
Range	258
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	37.192003
Coefficient of variation (CV)	0.88077698
Kurtosis	12.963324
Mean	42.226357
Median Absolute Deviation (MAD)	11
Skewness	3.0469509
Sum	5447.2
Variance	1383.2451
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	6	4.7%
40	5	3.9%
17	5	3.9%
29	4	3.1%
18	4	3.1%
31	4	3.1%
19	4	3.1%
26	4	3.1%
21	3	2.3%
36	3	2.3%
Other values (62)	87	67.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	1	0.8%
9	2	1.6%
10	2	1.6%
11	2	1.6%
12	3	2.3%
13	2	1.6%
14	2	1.6%
15	2	1.6%
17	5	3.9%
18	4	3.1%

Value	Count	Frequency (%)
265	1	0.8%
217	1	0.8%
139	2	1.6%
130	1	0.8%
110	1	0.8%
105	1	0.8%
103	1	0.8%
99	1	0.8%
98	1	0.8%
94	1	0.8%

FA
Real number (ℝ)

Distinct	109
Distinct (%)	84.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	218.52713

Minimum	43.4
Maximum	595
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	43.4
5-th percentile	59.44
Q1	111
median	203
Q3	277
95-th percentile	467.6
Maximum	595
Range	551.6
Interquartile range (IQR)	166

Descriptive statistics

Standard deviation	121.4634
Coefficient of variation (CV)	0.55582756
Kurtosis	1.0730533
Mean	218.52713
Median Absolute Deviation (MAD)	76
Skewness	0.96002144
Sum	28190
Variance	14753.358
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
203	4	3.1%
232	3	2.3%
103	3	2.3%
329	2	1.6%
185	2	1.6%
134	2	1.6%
188	2	1.6%
199	2	1.6%
371	2	1.6%
236	2	1.6%
Other values (99)	105	81.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43.4	1	0.8%
45.4	1	0.8%
48	1	0.8%
51.6	1	0.8%
57	1	0.8%
57.3	1	0.8%
58.2	1	0.8%
61.3	1	0.8%
69.6	1	0.8%
69.7	1	0.8%

Value	Count	Frequency (%)
595	1	0.8%
594	1	0.8%
563	1	0.8%
544	1	0.8%
527	1	0.8%
512	1	0.8%
490	1	0.8%
434	1	0.8%
427	1	0.8%
390	1	0.8%

GGT
Real number (ℝ)

Distinct	93
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.268217

Minimum	16
Maximum	367
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	16
5-th percentile	21.4
Q1	34
median	58
Q3	83
95-th percentile	230.6
Maximum	367
Range	351
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	64.570554
Coefficient of variation (CV)	0.84662466
Kurtosis	4.6479922
Mean	76.268217
Median Absolute Deviation (MAD)	25
Skewness	2.0845821
Sum	9838.6
Variance	4169.3564
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	5	3.9%
40	4	3.1%
29	3	2.3%
24	3	2.3%
36	3	2.3%
26	3	2.3%
114	3	2.3%
42	3	2.3%
23	2	1.6%
55	2	1.6%
Other values (83)	98	76.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	1	0.8%
17	2	1.6%
18	1	0.8%
19	1	0.8%
20.7	1	0.8%
21	1	0.8%
22	1	0.8%
22.5	1	0.8%
23	2	1.6%
24	3	2.3%

Value	Count	Frequency (%)
367	1	0.8%
291	1	0.8%
278	1	0.8%
267	1	0.8%
252	1	0.8%
247	1	0.8%
235	1	0.8%
224	1	0.8%
202	1	0.8%
198	1	0.8%

Bilirubine
Real number (ℝ)

Distinct	50
Distinct (%)	38.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0736163

Minimum	0.3
Maximum	3.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.3
5-th percentile	0.5
Q1	0.6
median	0.8905
Q3	1.3
95-th percentile	2.5
Maximum	3.4
Range	3.1
Interquartile range (IQR)	0.7

Descriptive statistics

Standard deviation	0.64166933
Coefficient of variation (CV)	0.59767101
Kurtosis	2.7313852
Mean	1.0736163
Median Absolute Deviation (MAD)	0.3205
Skewness	1.6513466
Sum	138.4965
Variance	0.41173953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	16	12.4%
0.7	10	7.8%
0.8	9	7.0%
0.9	9	7.0%
0.6	8	6.2%
1.3	7	5.4%
1.4	5	3.9%
1.7	5	3.9%
1.1	5	3.9%
1	4	3.1%
Other values (40)	51	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3	1	0.8%
0.4	4	3.1%
0.5	16	12.4%
0.516	1	0.8%
0.518	1	0.8%
0.552	1	0.8%
0.56	1	0.8%
0.57	1	0.8%
0.6	8	6.2%
0.63	1	0.8%

Value	Count	Frequency (%)
3.4	1	0.8%
3.2	1	0.8%
3.1	2	1.6%
2.9	1	0.8%
2.7	1	0.8%
2.5	2	1.6%
2.2	1	0.8%
2.06	1	0.8%
1.99	1	0.8%
1.93	1	0.8%

Creatinine
Real number (ℝ)

ZEROS

Distinct	67
Distinct (%)	51.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.90147287

Minimum	0
Maximum	8.8
Zeros	2
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.5
Q1	0.67
median	0.81
Q3	0.98
95-th percentile	1.276
Maximum	8.8
Range	8.8
Interquartile range (IQR)	0.31

Descriptive statistics

Standard deviation	0.77447371
Coefficient of variation (CV)	0.85912038
Kurtosis	86.155041
Mean	0.90147287
Median Absolute Deviation (MAD)	0.15
Skewness	8.5963049
Sum	116.29
Variance	0.59980953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.82	5	3.9%
0.57	5	3.9%
0.79	5	3.9%
0.66	5	3.9%
0.73	4	3.1%
1.03	4	3.1%
1	4	3.1%
0.9	4	3.1%
0.7	3	2.3%
0.93	3	2.3%
Other values (57)	87	67.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	1.6%
0.37	1	0.8%
0.38	1	0.8%
0.4	1	0.8%
0.44	1	0.8%
0.5	2	1.6%
0.52	1	0.8%
0.53	1	0.8%
0.56	1	0.8%
0.57	5	3.9%

Value	Count	Frequency (%)
8.8	1	0.8%
3.13	1	0.8%
2.05	1	0.8%
1.56	1	0.8%
1.42	1	0.8%
1.4	1	0.8%
1.32	1	0.8%
1.21	1	0.8%
1.19	2	1.6%
1.16	1	0.8%

Neutrophils
Real number (ℝ)

Distinct	115
Distinct (%)	89.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6537209

Minimum	0.66
Maximum	46
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.66
5-th percentile	1.95
Q1	2.8
median	3.83
Q3	5.13
95-th percentile	8.846
Maximum	46
Range	45.34
Interquartile range (IQR)	2.33

Descriptive statistics

Standard deviation	4.3654712
Coefficient of variation (CV)	0.93806038
Kurtosis	63.424955
Mean	4.6537209
Median Absolute Deviation (MAD)	1.21
Skewness	6.9799301
Sum	600.33
Variance	19.057339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.14	3	2.3%
2.2	2	1.6%
3.47	2	1.6%
5.42	2	1.6%
1.99	2	1.6%
4.95	2	1.6%
4.57	2	1.6%
3.6	2	1.6%
4.84	2	1.6%
3.99	2	1.6%
Other values (105)	108	83.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.66	1	0.8%
0.74	1	0.8%
0.97	1	0.8%
1.78	1	0.8%
1.79	1	0.8%
1.88	1	0.8%
1.95	2	1.6%
1.99	2	1.6%
2.03	1	0.8%
2.09	2	1.6%

Value	Count	Frequency (%)
46	1	0.8%
14.53	1	0.8%
13.25	1	0.8%
12.58	1	0.8%
12.2	1	0.8%
11.46	1	0.8%
8.93	1	0.8%
8.72	1	0.8%
7.8	1	0.8%
7.61	1	0.8%

Lymphocytes
Real number (ℝ)

Distinct	107
Distinct (%)	82.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5827907

Minimum	0.23
Maximum	10.59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.23
5-th percentile	0.532
Q1	0.94
median	1.41
Q3	1.95
95-th percentile	2.836
Maximum	10.59
Range	10.36
Interquartile range (IQR)	1.01

Descriptive statistics

Standard deviation	1.0921173
Coefficient of variation (CV)	0.68999479
Kurtosis	35.587749
Mean	1.5827907
Median Absolute Deviation (MAD)	0.51
Skewness	4.6394039
Sum	204.18
Variance	1.1927203
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.27	4	3.1%
1.2	3	2.3%
0.65	2	1.6%
2.05	2	1.6%
1.56	2	1.6%
1.76	2	1.6%
1.35	2	1.6%
1.95	2	1.6%
1.05	2	1.6%
0.86	2	1.6%
Other values (97)	106	82.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.23	1	0.8%
0.38	1	0.8%
0.43	1	0.8%
0.5	1	0.8%
0.51	1	0.8%
0.52	2	1.6%
0.55	1	0.8%
0.59	1	0.8%
0.62	1	0.8%
0.63	1	0.8%

Value	Count	Frequency (%)
10.59	1	0.8%
4.01	1	0.8%
3.94	1	0.8%
3.44	1	0.8%
3.18	1	0.8%
3.09	1	0.8%
2.84	1	0.8%
2.83	1	0.8%
2.8	1	0.8%
2.78	1	0.8%

Natrium
Real number (ℝ)

Distinct	27
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	138.98062

Minimum	104
Maximum	147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	104
5-th percentile	134.4
Q1	137.5
median	139.7
Q3	141
95-th percentile	144
Maximum	147
Range	43
Interquartile range (IQR)	3.5

Descriptive statistics

Standard deviation	4.1359528
Coefficient of variation (CV)	0.029759206
Kurtosis	39.47434
Mean	138.98062
Median Absolute Deviation (MAD)	1.7
Skewness	-4.7196006
Sum	17928.5
Variance	17.106106
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
141	19	14.7%
140	19	14.7%
138	18	14.0%
137	10	7.8%
139	9	7.0%
142	8	6.2%
136	7	5.4%
135	5	3.9%
134	4	3.1%
144	4	3.1%
Other values (17)	26	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104	1	0.8%
132	2	1.6%
134	4	3.1%
135	5	3.9%
135.9	1	0.8%
136	7	5.4%
136.7	1	0.8%
136.8	1	0.8%
137	10	7.8%
137.5	1	0.8%

Value	Count	Frequency (%)
147	1	0.8%
145	4	3.1%
144	4	3.1%
143	3	2.3%
142.9	1	0.8%
142	8	6.2%
141	19	14.7%
140.2	1	0.8%
140	19	14.7%
139.9	1	0.8%

IP
Real number (ℝ)

Distinct	95
Distinct (%)	73.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.134109

Minimum	40
Maximum	111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	40
5-th percentile	50.22
Q1	65.2
median	80
Q3	88.7
95-th percentile	102.6
Maximum	111
Range	71
Interquartile range (IQR)	23.5

Descriptive statistics

Standard deviation	16.085735
Coefficient of variation (CV)	0.20854243
Kurtosis	-0.64412643
Mean	77.134109
Median Absolute Deviation (MAD)	10.1
Skewness	-0.24800065
Sum	9950.3
Variance	258.75086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	4	3.1%
86	4	3.1%
70	3	2.3%
59	3	2.3%
77	3	2.3%
72	3	2.3%
87	2	1.6%
87.7	2	1.6%
95	2	1.6%
90.1	2	1.6%
Other values (85)	101	78.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1	0.8%
43	1	0.8%
44.1	1	0.8%
45.4	1	0.8%
49	2	1.6%
49.7	1	0.8%
51	1	0.8%
52	1	0.8%
52.4	1	0.8%
53	1	0.8%

Value	Count	Frequency (%)
111	1	0.8%
107	1	0.8%
106.3	1	0.8%
106	1	0.8%
105.3	1	0.8%
103	2	1.6%
102	1	0.8%
99.7	1	0.8%
99	1	0.8%
98.9	1	0.8%

INR
Real number (ℝ)

Distinct	60
Distinct (%)	46.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2284496

Minimum	0.92
Maximum	2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.92
5-th percentile	0.984
Q1	1.1
median	1.18
Q3	1.32
95-th percentile	1.61
Maximum	2
Range	1.08
Interquartile range (IQR)	0.22

Descriptive statistics

Standard deviation	0.19242064
Coefficient of variation (CV)	0.15663698
Kurtosis	1.3880531
Mean	1.2284496
Median Absolute Deviation (MAD)	0.1
Skewness	1.1064638
Sum	158.47
Variance	0.037025703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1	8	6.2%
1.15	6	4.7%
1.19	5	3.9%
1.12	5	3.9%
1.26	4	3.1%
1.2	4	3.1%
1.16	4	3.1%
1.17	4	3.1%
1.11	4	3.1%
1.04	4	3.1%
Other values (50)	81	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.92	1	0.8%
0.95	1	0.8%
0.96	2	1.6%
0.97	1	0.8%
0.98	2	1.6%
0.99	1	0.8%
1	2	1.6%
1.01	1	0.8%
1.02	2	1.6%
1.03	3	2.3%

Value	Count	Frequency (%)
2	1	0.8%
1.71	2	1.6%
1.65	2	1.6%
1.62	1	0.8%
1.61	2	1.6%
1.57	1	0.8%
1.55	1	0.8%
1.54	1	0.8%
1.53	1	0.8%
1.52	1	0.8%

Albumine
Real number (ℝ)

ZEROS

Distinct	53
Distinct (%)	41.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9803876

Minimum	0
Maximum	5.6
Zeros	2
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.904
Q1	3.7
median	4.1
Q3	4.35
95-th percentile	5.096
Maximum	5.6
Range	5.6
Interquartile range (IQR)	0.65

Descriptive statistics

Standard deviation	0.76952238
Coefficient of variation (CV)	0.1933285
Kurtosis	9.8257764
Mean	3.9803876
Median Absolute Deviation (MAD)	0.3
Skewness	-2.0807651
Sum	513.47
Variance	0.59216469
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.8	10	7.8%
4.2	10	7.8%
4.1	9	7.0%
3.9	8	6.2%
4.3	8	6.2%
4.4	7	5.4%
3.7	6	4.7%
3.6	6	4.7%
4	5	3.9%
4.5	4	3.1%
Other values (43)	56	43.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	1.6%
2.4	1	0.8%
2.8	2	1.6%
2.9	2	1.6%
2.91	1	0.8%
2.99	1	0.8%
3	2	1.6%
3.03	1	0.8%
3.1	1	0.8%
3.14	1	0.8%

Value	Count	Frequency (%)
5.6	1	0.8%
5.5	1	0.8%
5.3	1	0.8%
5.2	2	1.6%
5.1	2	1.6%
5.09	1	0.8%
5.02	1	0.8%
4.94	1	0.8%
4.9	1	0.8%
4.84	1	0.8%

CRP
Real number (ℝ)

Distinct	63
Distinct (%)	48.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7726136

Minimum	0.01
Maximum	18.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.17
Q1	0.43
median	1.2
Q3	1.7726136
95-th percentile	6.288
Maximum	18.4
Range	18.39
Interquartile range (IQR)	1.3426136

Descriptive statistics

Standard deviation	2.4585195
Coefficient of variation (CV)	1.386946
Kurtosis	20.125453
Mean	1.7726136
Median Absolute Deviation (MAD)	0.7
Skewness	3.9410779
Sum	228.66716
Variance	6.044318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.772613636	41	31.8%
0.8	5	3.9%
0.3	5	3.9%
0.45	4	3.1%
0.43	4	3.1%
0.2	3	2.3%
0.52	2	1.6%
0.38	2	1.6%
3.43	2	1.6%
0.36	2	1.6%
Other values (53)	59	45.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	1	0.8%
0.02	1	0.8%
0.06	1	0.8%
0.07	2	1.6%
0.14	1	0.8%
0.15	1	0.8%
0.2	3	2.3%
0.29	1	0.8%
0.3	5	3.9%
0.31	2	1.6%

Value	Count	Frequency (%)
18.4	1	0.8%
13.1	1	0.8%
11	1	0.8%
7	1	0.8%
6.73	1	0.8%
6.65	1	0.8%
6.48	1	0.8%
6	1	0.8%
5.4	1	0.8%
5	1	0.8%

AFP
Real number (ℝ)

Distinct	84
Distinct (%)	65.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.877054

Minimum	0.91
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.91
5-th percentile	2.58
Q1	4.9
median	8.75
Q3	33.2
95-th percentile	400
Maximum	1000
Range	999.09
Interquartile range (IQR)	28.3

Descriptive statistics

Standard deviation	164.03607
Coefficient of variation (CV)	2.1618666
Kurtosis	13.435313
Mean	75.877054
Median Absolute Deviation (MAD)	5.17
Skewness	3.324912
Sum	9788.14
Variance	26907.833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.75	19	14.7%
400	10	7.8%
6	3	2.3%
2	3	2.3%
2.8	3	2.3%
4.2	3	2.3%
6.2	3	2.3%
19.8	2	1.6%
5	2	1.6%
3.9	2	1.6%
Other values (74)	79	61.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.91	1	0.8%
2	3	2.3%
2.2	1	0.8%
2.3	1	0.8%
2.5	1	0.8%
2.7	1	0.8%
2.8	3	2.3%
2.83	1	0.8%
2.86	1	0.8%
2.9	1	0.8%

Value	Count	Frequency (%)
1000	1	0.8%
957	1	0.8%
400	10	7.8%
351	1	0.8%
314	1	0.8%
310.5	1	0.8%
261	1	0.8%
259.9	1	0.8%
229.8	1	0.8%
196.1	1	0.8%

Previous_decomp
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	120
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	249	96.5%
1	9	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Segment
Categorical

Distinct	5
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	68
2.0	47
3.0	9
4.0	4
7.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	68	52.7%
2.0	47	36.4%
3.0	9	7.0%
4.0	4	3.1%
7.0	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	68	52.7%
2.0	47	36.4%
3.0	9	7.0%
4.0	4	3.1%
7.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	68	17.6%
2	47	12.1%
3	9	2.3%
4	4	1.0%
7	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	129	50.0%
1	68	26.4%
2	47	18.2%
3	9	3.5%
4	4	1.6%
7	1	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	68	17.6%
2	47	12.1%
3	9	2.3%
4	4	1.0%
7	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	129	33.3%
0	129	33.3%
1	68	17.6%
2	47	12.1%
3	9	2.3%
4	4	1.0%
7	1	0.3%

Major_surgery
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	117
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	117	90.7%
1.0	12	9.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	117	90.7%
1.0	12	9.3%

Most occurring characters

Value	Count	Frequency (%)
0	246	63.6%
.	129	33.3%
1	12	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	246	95.3%
1	12	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	246	63.6%
.	129	33.3%
1	12	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	246	63.6%
.	129	33.3%
1	12	3.1%

Size_each_nodule
Real number (ℝ)

Distinct	31
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5697674

Minimum	1.3
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.3
5-th percentile	2
Q1	3
median	3.5
Q3	4.5
95-th percentile	9
Maximum	60
Range	58.7
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	5.5442482
Coefficient of variation (CV)	1.2132452
Kurtosis	79.425588
Mean	4.5697674
Median Absolute Deviation (MAD)	0.5
Skewness	8.2015231
Sum	589.5
Variance	30.738688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3.5	36	27.9%
3	15	11.6%
4	12	9.3%
2	8	6.2%
2.5	7	5.4%
5	5	3.9%
6	5	3.9%
4.5	4	3.1%
7	4	3.1%
2.3	3	2.3%
Other values (21)	30	23.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.3	1	0.8%
1.5	3	2.3%
2	8	6.2%
2.2	1	0.8%
2.3	3	2.3%
2.5	7	5.4%
2.6	2	1.6%
2.7	3	2.3%
2.8	1	0.8%
3	15	11.6%

Value	Count	Frequency (%)
60	1	0.8%
20	1	0.8%
15.3	1	0.8%
12	2	1.6%
11	1	0.8%
9	2	1.6%
8	2	1.6%
7.3	1	0.8%
7	4	3.1%
6	5	3.9%

Size_total
Real number (ℝ)

Distinct	44
Distinct (%)	34.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6127907

Minimum	0.4
Maximum	15.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.4
5-th percentile	2
Q1	3
median	4
Q3	6
95-th percentile	9
Maximum	15.3
Range	14.9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.4011413
Coefficient of variation (CV)	0.52053984
Kurtosis	3.1664464
Mean	4.6127907
Median Absolute Deviation (MAD)	1.5
Skewness	1.4200073
Sum	595.05
Variance	5.7654797
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
3	18	14.0%
4	12	9.3%
6	11	8.5%
2	8	6.2%
2.5	7	5.4%
4.5	6	4.7%
5	6	4.7%
7	5	3.9%
6.5	4	3.1%
2.3	3	2.3%
Other values (34)	49	38.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.4	1	0.8%
0.9	1	0.8%
1.5	2	1.6%
2	8	6.2%
2.1	1	0.8%
2.2	1	0.8%
2.3	3	2.3%
2.5	7	5.4%
2.6	1	0.8%
2.7	3	2.3%

Value	Count	Frequency (%)
15.3	1	0.8%
12	2	1.6%
11	1	0.8%
10	1	0.8%
9.7	1	0.8%
9	2	1.6%
8	3	2.3%
7.3	2	1.6%
7.2	1	0.8%
7	5	3.9%

tu_more_than_3
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	70
1.0	59

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	70	54.3%
1.0	59	45.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	70	54.3%
1.0	59	45.7%

Most occurring characters

Value	Count	Frequency (%)
0	199	51.4%
.	129	33.3%
1	59	15.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	199	77.1%
1	59	22.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	199	51.4%
.	129	33.3%
1	59	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	199	51.4%
.	129	33.3%
1	59	15.2%

Laparoscopy
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	99
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	99	76.7%
1.0	30	23.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	99	76.7%
1.0	30	23.3%

Most occurring characters

Value	Count	Frequency (%)
0	228	58.9%
.	129	33.3%
1	30	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	228	88.4%
1	30	11.6%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	228	58.9%
.	129	33.3%
1	30	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	228	58.9%
.	129	33.3%
1	30	7.8%

RFA_IOP
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	76
1.0	53

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	76	58.9%
1.0	53	41.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	76	58.9%
1.0	53	41.1%

Most occurring characters

Value	Count	Frequency (%)
0	205	53.0%
.	129	33.3%
1	53	13.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	205	79.5%
1	53	20.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	205	53.0%
.	129	33.3%
1	53	13.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	205	53.0%
.	129	33.3%
1	53	13.7%

Anesthesia_Duration_min
Real number (ℝ)

Distinct	28
Distinct (%)	21.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.9845

Minimum	60
Maximum	270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	60
5-th percentile	87
Q1	110
median	130
Q3	150
95-th percentile	200
Maximum	270
Range	210
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	36.796311
Coefficient of variation (CV)	0.27669625
Kurtosis	2.2397097
Mean	132.9845
Median Absolute Deviation (MAD)	20
Skewness	0.99024096
Sum	17155
Variance	1353.9685
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
120	19	14.7%
150	18	14.0%
130	17	13.2%
100	12	9.3%
140	11	8.5%
90	9	7.0%
180	6	4.7%
110	5	3.9%
60	4	3.1%
160	2	1.6%
Other values (18)	26	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	4	3.1%
80	2	1.6%
85	1	0.8%
90	9	7.0%
100	12	9.3%
105	2	1.6%
110	5	3.9%
115	1	0.8%
120	19	14.7%
125	2	1.6%

Value	Count	Frequency (%)
270	1	0.8%
255	1	0.8%
254	1	0.8%
220	1	0.8%
210	2	1.6%
200	2	1.6%
190	1	0.8%
180	6	4.7%
175	1	0.8%
170	2	1.6%

Blood_Loss
Real number (ℝ)

ZEROS

Distinct	22
Distinct (%)	17.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	277.09302

Minimum	0
Maximum	2000
Zeros	23
Zeros (%)	17.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	80
median	150
Q3	300
95-th percentile	1120
Maximum	2000
Range	2000
Interquartile range (IQR)	220

Descriptive statistics

Standard deviation	365.3384
Coefficient of variation (CV)	1.3184684
Kurtosis	6.4477553
Mean	277.09302
Median Absolute Deviation (MAD)	135
Skewness	2.4569734
Sum	35745
Variance	133472.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	23	17.8%
100	20	15.5%
150	19	14.7%
200	12	9.3%
300	11	8.5%
50	8	6.2%
400	7	5.4%
500	5	3.9%
1500	4	3.1%
250	4	3.1%
Other values (12)	16	12.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	17.8%
15	1	0.8%
50	8	6.2%
80	1	0.8%
100	20	15.5%
150	19	14.7%
200	12	9.3%
250	4	3.1%
300	11	8.5%
350	1	0.8%

Value	Count	Frequency (%)
2000	1	0.8%
1500	4	3.1%
1300	1	0.8%
1200	1	0.8%
1000	2	1.6%
900	1	0.8%
800	2	1.6%
700	2	1.6%
600	2	1.6%
500	5	3.9%

Surgery_Duration_min
Real number (ℝ)

Distinct	29
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	129.83721

Minimum	40
Maximum	270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	40
5-th percentile	77
Q1	105
median	120
Q3	150
95-th percentile	196
Maximum	270
Range	230
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	38.507059
Coefficient of variation (CV)	0.29657953
Kurtosis	1.8765007
Mean	129.83721
Median Absolute Deviation (MAD)	25
Skewness	0.86952554
Sum	16749
Variance	1482.7936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
120	27	20.9%
150	20	15.5%
90	12	9.3%
140	8	6.2%
180	8	6.2%
100	8	6.2%
105	5	3.9%
130	5	3.9%
60	4	3.1%
210	3	2.3%
Other values (19)	29	22.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1	0.8%
60	4	3.1%
75	2	1.6%
80	2	1.6%
85	1	0.8%
90	12	9.3%
95	1	0.8%
100	8	6.2%
105	5	3.9%
110	3	2.3%

Value	Count	Frequency (%)
270	1	0.8%
255	1	0.8%
254	1	0.8%
210	3	2.3%
200	1	0.8%
190	1	0.8%
180	8	6.2%
175	1	0.8%
170	1	0.8%
160	2	1.6%

Transfusion_IOP
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	115
1.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Most occurring characters

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	244	94.6%
1	14	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

IOP_Complications
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	112
1.0	17

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	112	86.8%
1.0	17	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	112	86.8%
1.0	17	13.2%

Most occurring characters

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	17	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	241	93.4%
1	17	6.6%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	17	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	17	4.4%

Resection_Margin
Categorical

IMBALANCE

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	112
1.0	16
0.4	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	112	86.8%
1.0	16	12.4%
0.4	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	112	86.8%
1.0	16	12.4%
0.4	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	16	4.1%
4	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	241	93.4%
1	16	6.2%
4	1	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	16	4.1%
4	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	241	62.3%
.	129	33.3%
1	16	4.1%
4	1	0.3%

Microvascular_Invasion
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	102
1.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	102	79.1%
1.0	27	20.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	102	79.1%
1.0	27	20.9%

Most occurring characters

Value	Count	Frequency (%)
0	231	59.7%
.	129	33.3%
1	27	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	231	89.5%
1	27	10.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	231	59.7%
.	129	33.3%
1	27	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	231	59.7%
.	129	33.3%
1	27	7.0%

MIlan_probability
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	86
0.0	43

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	86	66.7%
0.0	43	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	86	66.7%
0.0	43	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	172	44.4%
.	129	33.3%
1	86	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	172	66.7%
1	86	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	172	44.4%
.	129	33.3%
1	86	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	172	44.4%
.	129	33.3%
1	86	22.2%

Use_of_vasoactives
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	124
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	124	96.1%
1.0	5	3.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	124	96.1%
1.0	5	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	253	98.1%
1	5	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

Ventil_Mecan
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	122
1.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	122	94.6%
1.0	7	5.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	122	94.6%
1.0	7	5.4%

Most occurring characters

Value	Count	Frequency (%)
0	251	64.9%
.	129	33.3%
1	7	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	251	97.3%
1	7	2.7%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	251	64.9%
.	129	33.3%
1	7	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	251	64.9%
.	129	33.3%
1	7	1.8%

Number_of_Organ_Failures
Categorical

IMBALANCE

Distinct	5
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	118
1.0	6
2.0	3
5.0	1
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.6%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	118	91.5%
1.0	6	4.7%
2.0	3	2.3%
5.0	1	0.8%
3.0	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	118	91.5%
1.0	6	4.7%
2.0	3	2.3%
5.0	1	0.8%
3.0	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	247	63.8%
.	129	33.3%
1	6	1.6%
2	3	0.8%
5	1	0.3%
3	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	247	95.7%
1	6	2.3%
2	3	1.2%
5	1	0.4%
3	1	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	247	63.8%
.	129	33.3%
1	6	1.6%
2	3	0.8%
5	1	0.3%
3	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	247	63.8%
.	129	33.3%
1	6	1.6%
2	3	0.8%
5	1	0.3%
3	1	0.3%

ACLF_Grade
Categorical

IMBALANCE

Distinct	4
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	121
2.0	3
3.0	3
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	121	93.8%
2.0	3	2.3%
3.0	3	2.3%
1.0	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	121	93.8%
2.0	3	2.3%
3.0	3	2.3%
1.0	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	250	64.6%
.	129	33.3%
2	3	0.8%
3	3	0.8%
1	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	250	96.9%
2	3	1.2%
3	3	1.2%
1	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	250	64.6%
.	129	33.3%
2	3	0.8%
3	3	0.8%
1	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	250	64.6%
.	129	33.3%
2	3	0.8%
3	3	0.8%
1	2	0.5%

Ascita_post_op
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	106
1.0	23

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	106	82.2%
1.0	23	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	106	82.2%
1.0	23	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	235	60.7%
.	129	33.3%
1	23	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	235	91.1%
1	23	8.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	235	60.7%
.	129	33.3%
1	23	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	235	60.7%
.	129	33.3%
1	23	5.9%

HRS_post_op
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	125
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	125	96.9%
1.0	4	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	125	96.9%
1.0	4	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	254	98.4%
1	4	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	254	65.6%
.	129	33.3%
1	4	1.0%

disf_renala_nonHRS_post_op
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	115
1.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115	89.1%
1.0	14	10.9%

Most occurring characters

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	244	94.6%
1	14	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	244	63.0%
.	129	33.3%
1	14	3.6%

HE_post_op
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	126
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	126	97.7%
1.0	3	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	126	97.7%
1.0	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	255	65.9%
.	129	33.3%
1	3	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	255	98.8%
1	3	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	255	65.9%
.	129	33.3%
1	3	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	255	65.9%
.	129	33.3%
1	3	0.8%

JaundiceBTgt3
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	124
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	124	96.1%
1.0	5	3.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	124	96.1%
1.0	5	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	253	98.1%
1	5	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	253	65.4%
.	129	33.3%
1	5	1.3%

HDS_postop
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	127
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	127	98.4%
1.0	2	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	127	98.4%
1.0	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	256	66.1%
.	129	33.3%
1	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	256	99.2%
1	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	256	66.1%
.	129	33.3%
1	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	256	66.1%
.	129	33.3%
1	2	0.5%

Infection_post_op
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	108
1.0	21

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	108	83.7%
1.0	21	16.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	108	83.7%
1.0	21	16.3%

Most occurring characters

Value	Count	Frequency (%)
0	237	61.2%
.	129	33.3%
1	21	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	237	91.9%
1	21	8.1%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	237	61.2%
.	129	33.3%
1	21	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	237	61.2%
.	129	33.3%
1	21	5.4%

Post_op_decomp
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	113
1.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	113	87.6%
1.0	16	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	113	87.6%
1.0	16	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	242	93.8%
1	16	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	242	62.5%
.	129	33.3%
1	16	4.1%

Recidive
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	88
1.0	41

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	88	68.2%
1.0	41	31.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	88	68.2%
1.0	41	31.8%

Most occurring characters

Value	Count	Frequency (%)
0	217	56.1%
.	129	33.3%
1	41	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	217	84.1%
1	41	15.9%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	217	56.1%
.	129	33.3%
1	41	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	217	56.1%
.	129	33.3%
1	41	10.6%

Hospitalisation_days
Real number (ℝ)

Distinct	27
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.449612

Minimum	2
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	7
median	9
Q3	12
95-th percentile	25.2
Maximum	86
Range	84
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	9.7250974
Coefficient of variation (CV)	0.84938224
Kurtosis	30.321972
Mean	11.449612
Median Absolute Deviation (MAD)	2
Skewness	4.7834576
Sum	1477
Variance	94.577519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
7	22	17.1%
9	15	11.6%
12	13	10.1%
8	12	9.3%
11	10	7.8%
6	9	7.0%
10	8	6.2%
5	7	5.4%
4	5	3.9%
14	4	3.1%
Other values (17)	24	18.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.8%
4	5	3.9%
5	7	5.4%
6	9	7.0%
7	22	17.1%
8	12	9.3%
9	15	11.6%
10	8	6.2%
11	10	7.8%
12	13	10.1%

Value	Count	Frequency (%)
86	1	0.8%
57	1	0.8%
41	1	0.8%
32	1	0.8%
30	1	0.8%
28	1	0.8%
26	1	0.8%
24	1	0.8%
21	1	0.8%
20	2	1.6%

APRI
Real number (ℝ)

Distinct	126
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2539435

Minimum	0.096474954
Maximum	7.452381
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.096474954
5-th percentile	0.26135304
Q1	0.46153846
median	0.88275862
Q3	1.4693878
95-th percentile	3.8351993
Maximum	7.452381
Range	7.355906
Interquartile range (IQR)	1.0078493

Descriptive statistics

Standard deviation	1.2951999
Coefficient of variation (CV)	1.0329013
Kurtosis	8.5681329
Mean	1.2539435
Median Absolute Deviation (MAD)	0.45522995
Skewness	2.704376
Sum	161.75871
Variance	1.6775428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.571428571	2	1.6%
1.011904762	2	1.6%
1.469387755	2	1.6%
1.761546724	1	0.8%
1.721170396	1	0.8%
0.424710425	1	0.8%
2.704761905	1	0.8%
0.779220779	1	0.8%
0.38961039	1	0.8%
0.65681445	1	0.8%
Other values (116)	116	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.096474954	1	0.8%
0.167519777	1	0.8%
0.183486239	1	0.8%
0.184331797	1	0.8%
0.238095238	1	0.8%
0.242488139	1	0.8%
0.25871766	1	0.8%
0.265306122	1	0.8%
0.270078181	1	0.8%
0.272727273	1	0.8%

Value	Count	Frequency (%)
7.452380952	1	0.8%
6.803699897	1	0.8%
6.763848397	1	0.8%
5.518925519	1	0.8%
4.144869215	1	0.8%
4.076655052	1	0.8%
3.896103896	1	0.8%
3.743842365	1	0.8%
3.568010936	1	0.8%
3.387755102	1	0.8%

APRI_0.74
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	75
0.0	54

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	75	58.1%
0.0	54	41.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	75	58.1%
0.0	54	41.9%

Most occurring characters

Value	Count	Frequency (%)
0	183	47.3%
.	129	33.3%
1	75	19.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	183	70.9%
1	75	29.1%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	183	47.3%
.	129	33.3%
1	75	19.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	183	47.3%
.	129	33.3%
1	75	19.4%

FIB4
Real number (ℝ)

UNIQUE

Distinct	129
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6584581

Minimum	0.15400948
Maximum	11.640496
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.15400948
5-th percentile	0.38398601
Q1	0.72049689
median	1.1561562
Q3	2.0329588
95-th percentile	4.3061329
Maximum	11.640496
Range	11.486486
Interquartile range (IQR)	1.3124619

Descriptive statistics

Standard deviation	1.6794548
Coefficient of variation (CV)	1.0126604
Kurtosis	15.519283
Mean	1.6584581
Median Absolute Deviation (MAD)	0.55870842
Skewness	3.4620218
Sum	213.9411
Variance	2.8205686
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.382445141	1	0.8%
2.714285714	1	0.8%
0.866702071	1	0.8%
0.941176471	1	0.8%
1.000100216	1	0.8%
1.119736842	1	0.8%
1.890575585	1	0.8%
1.446500868	1	0.8%
0.75	1	0.8%
0.292561983	1	0.8%
Other values (119)	119	92.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.154009475	1	0.8%
0.249382202	1	0.8%
0.277238551	1	0.8%
0.292561983	1	0.8%
0.30097166	1	0.8%
0.318287576	1	0.8%
0.378059072	1	0.8%
0.392876417	1	0.8%
0.397959184	1	0.8%
0.424354244	1	0.8%

Value	Count	Frequency (%)
11.64049587	1	0.8%
10.4358209	1	0.8%
7.573333333	1	0.8%
6.097674419	1	0.8%
5.684323167	1	0.8%
4.8	1	0.8%
4.542510121	1	0.8%
3.951566952	1	0.8%
3.75323913	1	0.8%
3.737373737	1	0.8%

FIB4_3.74
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	120
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	249	96.5%
1	9	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

NLR
Real number (ℝ)

Distinct	128
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1364496

Minimum	0.45797923
Maximum	54.695652
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.45797923
5-th percentile	1.1210763
Q1	1.8597561
median	2.484252
Q3	4
95-th percentile	10.164248
Maximum	54.695652
Range	54.237673
Interquartile range (IQR)	2.1402439

Descriptive statistics

Standard deviation	6.1536057
Coefficient of variation (CV)	1.487654
Kurtosis	41.09468
Mean	4.1364496
Median Absolute Deviation (MAD)	0.92419874
Skewness	5.84002
Sum	533.602
Variance	37.866864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	2	1.6%
1.015384615	1	0.8%
2.894736842	1	0.8%
2.224358974	1	0.8%
1.739130435	1	0.8%
2.891666667	1	0.8%
2.375	1	0.8%
19.48529412	1	0.8%
1.37164751	1	0.8%
1.928571429	1	0.8%
Other values (118)	118	91.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.457979226	1	0.8%
0.700704225	1	0.8%
0.711538462	1	0.8%
0.872817955	1	0.8%
1.015384615	1	0.8%
1.033492823	1	0.8%
1.101522843	1	0.8%
1.150406504	1	0.8%
1.153409091	1	0.8%
1.221428571	1	0.8%

Value	Count	Frequency (%)
54.69565217	1	0.8%
36.22047244	1	0.8%
19.67741935	1	0.8%
19.48529412	1	0.8%
14.325	1	0.8%
13.953125	1	0.8%
10.49019608	1	0.8%
9.675324675	1	0.8%
9.578947368	1	0.8%
9.205479452	1	0.8%

NLR_2.26
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	76
0.0	53

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	76	58.9%
0.0	53	41.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	76	58.9%
0.0	53	41.1%

Most occurring characters

Value	Count	Frequency (%)
0	182	47.0%
.	129	33.3%
1	76	19.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	182	70.5%
1	76	29.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	182	47.0%
.	129	33.3%
1	76	19.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	182	47.0%
.	129	33.3%
1	76	19.6%

ALBI
Real number (ℝ)

Distinct	118
Distinct (%)	91.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-2.6526647

Minimum	-4.0213832
Maximum	-1.2612225
Zeros	0
Zeros (%)	0.0%
Negative	129
Negative (%)	100.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	-4.0213832
5-th percentile	-3.595572
Q1	-2.9633024
median	-2.686463
Q3	-2.3460236
95-th percentile	-1.7034069
Maximum	-1.2612225
Range	2.7601607
Interquartile range (IQR)	0.61727878

Descriptive statistics

Standard deviation	0.55708667
Coefficient of variation (CV)	-0.21001021
Kurtosis	0.10864819
Mean	-2.6526647
Median Absolute Deviation (MAD)	0.34043939
Skewness	0.14041998
Sum	-342.19375
Variance	0.31034555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-2.952057861	2	1.6%
-3.218902364	2	1.6%
-3.037257861	2	1.6%
-3.081442742	2	1.6%
-2.689419955	2	1.6%
-2.679422567	2	1.6%
-2.792902364	2	1.6%
-2.485042742	2	1.6%
-2.794822511	2	1.6%
-3.048502364	2	1.6%
Other values (108)	109	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4.021383176	1	0.8%
-3.936183176	1	0.8%
-3.815302364	1	0.8%
-3.721582364	1	0.8%
-3.718857861	1	0.8%
-3.633657861	1	0.8%
-3.595697805	1	0.8%
-3.595383176	1	0.8%
-3.561298469	1	0.8%
-3.463257861	1	0.8%

Value	Count	Frequency (%)
-1.261222511	1	0.8%
-1.345823598	1	0.8%
-1.372322483	1	0.8%
-1.382926482	1	0.8%
-1.573742714	1	0.8%
-1.588323849	1	0.8%
-1.695742511	1	0.8%
-1.714903395	1	0.8%
-1.732750794	1	0.8%
-1.770502364	1	0.8%

ALBI__2.71
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	82
0.0	47

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	82	63.6%
0.0	47	36.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	82	63.6%
0.0	47	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	176	45.5%
.	129	33.3%
1	82	21.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	176	68.2%
1	82	31.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	176	45.5%
.	129	33.3%
1	82	21.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	176	45.5%
.	129	33.3%
1	82	21.2%

eLIFT
Real number (ℝ)

Distinct	16
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.139535

Minimum	3
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3
5-th percentile	6
Q1	10
median	13
Q3	15
95-th percentile	16
Maximum	18
Range	15
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.234927
Coefficient of variation (CV)	0.26647866
Kurtosis	-0.091421545
Mean	12.139535
Median Absolute Deviation (MAD)	2
Skewness	-0.63504167
Sum	1566
Variance	10.464753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
13	23	17.8%
11	15	11.6%
15	15	11.6%
16	15	11.6%
14	13	10.1%
12	11	8.5%
9	9	7.0%
7	6	4.7%
10	5	3.9%
8	5	3.9%
Other values (6)	12	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	0.8%
4	1	0.8%
5	4	3.1%
6	2	1.6%
7	6	4.7%
8	5	3.9%
9	9	7.0%
10	5	3.9%
11	15	11.6%
12	11	8.5%

Value	Count	Frequency (%)
18	3	2.3%
17	1	0.8%
16	15	11.6%
15	15	11.6%
14	13	10.1%
13	23	17.8%
12	11	8.5%
11	15	11.6%
10	5	3.9%
9	9	7.0%

eLIFT_12.5
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	80
0.0	49

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	80	62.0%
0.0	49	38.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	80	62.0%
0.0	49	38.0%

Most occurring characters

Value	Count	Frequency (%)
0	178	46.0%
.	129	33.3%
1	80	20.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	178	69.0%
1	80	31.0%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	178	46.0%
.	129	33.3%
1	80	20.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	178	46.0%
.	129	33.3%
1	80	20.7%

CRP_Albumine_ratio
Real number (ℝ)

INFINITE

Distinct	111
Distinct (%)	86.0%
Missing	0
Missing (%)	0.0%
Infinite	2
Infinite (%)	1.6%
Mean	inf

Minimum	0.0023980815
Maximum	inf
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0.0023980815
5-th percentile	0.04544486
Q1	0.1
median	0.28378378
Q3	0.49239268
95-th percentile	1.8864007
Maximum	inf
Range	inf
Interquartile range (IQR)	0.39239268

Descriptive statistics

Standard deviation	nan
Coefficient of variation (CV)	nan
Kurtosis	nan
Mean	inf
Median Absolute Deviation (MAD)	0.1880391
Skewness	nan
Sum	inf
Variance	nan
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2837837838	5	3.9%
0.4122357294	3	2.3%
0.4220508658	3	2.3%
0.4431534091	3	2.3%
0.9026315789	2	1.6%
0.180952381	2	1.6%
inf	2	1.6%
0.6330762987	2	1.6%
0.4261090472	2	1.6%
0.454516317	2	1.6%
Other values (101)	103	79.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.002398081535	1	0.8%
0.004524886878	1	0.8%
0.01178781925	1	0.8%
0.01555555556	1	0.8%
0.01670644391	1	0.8%
0.03036437247	1	0.8%
0.04366812227	1	0.8%
0.04810996564	1	0.8%
0.05263157895	1	0.8%
0.06688963211	1	0.8%

Value	Count	Frequency (%)
inf	2	1.6%
5.317919075	1	0.8%
2.894736842	1	0.8%
2.872807018	1	0.8%
1.963636364	1	0.8%
1.955882353	1	0.8%
1.782178218	1	0.8%
1.707317073	1	0.8%
1.565116279	1	0.8%
1.463414634	1	0.8%

FIB_3.74
Categorical

IMBALANCE

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	120
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	120	93.0%
1.0	9	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	249	96.5%
1	9	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	249	64.3%
.	129	33.3%
1	9	2.3%

VARSTA_ELIFT
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

3.0	129

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	3.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	129	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	129	100.0%

Most occurring characters

Value	Count	Frequency (%)
3	129	33.3%
.	129	33.3%
0	129	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	129	50.0%
0	129	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	129	33.3%
.	129	33.3%
0	129	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	129	33.3%
.	129	33.3%
0	129	33.3%

SEX_ELIFT
Categorical

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	101
0.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	101	78.3%
0.0	28	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	101	78.3%
0.0	28	21.7%

Most occurring characters

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	157	60.9%
1	101	39.1%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	157	40.6%
.	129	33.3%
1	101	26.1%

AST_ELIFT
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0.0	59
2.0	50
4.0	20

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	4.0
3rd row	0.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	59	45.7%
2.0	50	38.8%
4.0	20	15.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	59	45.7%
2.0	50	38.8%
4.0	20	15.5%

Most occurring characters

Value	Count	Frequency (%)
0	188	48.6%
.	129	33.3%
2	50	12.9%
4	20	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	188	72.9%
2	50	19.4%
4	20	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	188	48.6%
.	129	33.3%
2	50	12.9%
4	20	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	188	48.6%
.	129	33.3%
2	50	12.9%
4	20	5.2%

GGT_ELIFT
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

1.0	64
0.0	33
2.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	64	49.6%
0.0	33	25.6%
2.0	32	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	64	49.6%
0.0	33	25.6%
2.0	32	24.8%

Most occurring characters

Value	Count	Frequency (%)
0	162	41.9%
.	129	33.3%
1	64	16.5%
2	32	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	162	62.8%
1	64	24.8%
2	32	12.4%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	162	41.9%
.	129	33.3%
1	64	16.5%
2	32	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	162	41.9%
.	129	33.3%
1	64	16.5%
2	32	8.3%

IP_ELIFT
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

4.0	79
2.0	37
0.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	4.0
4th row	4.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
4.0	79	61.2%
2.0	37	28.7%
0.0	13	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	79	61.2%
2.0	37	28.7%
0.0	13	10.1%

Most occurring characters

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	79	20.4%
2	37	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	142	55.0%
4	79	30.6%
2	37	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	79	20.4%
2	37	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	79	20.4%
2	37	9.6%

PLT_ELIFT
Categorical

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

4.0	92
1.0	24
0.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	387
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	1.0
3rd row	4.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
4.0	92	71.3%
1.0	24	18.6%
0.0	13	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	92	71.3%
1.0	24	18.6%
0.0	13	10.1%

Most occurring characters

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	92	23.8%
1	24	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	66.7%
Other Punctuation	129	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	142	55.0%
4	92	35.7%
1	24	9.3%

Other Punctuation

Value	Count	Frequency (%)
.	129	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	92	23.8%
1	24	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	142	36.7%
.	129	33.3%
4	92	23.8%
1	24	6.2%

df_index
Real number (ℝ)

UNIFORM UNIQUE

Distinct	129
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65

Minimum	1
Maximum	129
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	7.4
Q1	33
median	65
Q3	97
95-th percentile	122.6
Maximum	129
Range	128
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	37.383151
Coefficient of variation (CV)	0.5751254
Kurtosis	-1.2
Mean	65
Median Absolute Deviation (MAD)	32
Skewness	0
Sum	8385
Variance	1397.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.8%
66	1	0.8%
96	1	0.8%
95	1	0.8%
94	1	0.8%
93	1	0.8%
92	1	0.8%
91	1	0.8%
90	1	0.8%
89	1	0.8%
Other values (119)	119	92.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
2	1	0.8%
3	1	0.8%
4	1	0.8%
5	1	0.8%
6	1	0.8%
7	1	0.8%
8	1	0.8%
9	1	0.8%
10	1	0.8%

Value	Count	Frequency (%)
129	1	0.8%
128	1	0.8%
127	1	0.8%
126	1	0.8%
125	1	0.8%
124	1	0.8%
123	1	0.8%
122	1	0.8%
121	1	0.8%
120	1	0.8%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Survival	CHILD_score	CHILD_clasif	Nr_nodules	BCLC_class	Age	Sex	Etiology	DAA_after_dg	EV	Grade	HTP_gastropathy	primary_prophylaxis_0nu_1da	PVT_Thrombosis	Spleen	Splenomegaly_0no	Platelets	Platelets_less_100000	splenomegaly_Tr_sub_10	Ascites	LiverStiffnes	FS_19kPa	FS_13.6	CSPH	HVPG	MELD_8	CSPH_MELD_10	MELD_more_than_10	MELD	MELDNa	AST	ALT	FA	GGT	Bilirubine	Creatinine	Neutrophils	Lymphocytes	Natrium	IP	INR	Albumine	CRP	AFP	Previous_decomp	Segment	Major_surgery	Size_each_nodule	Size_total	tu_more_than_3	RFA_IOP	Anesthesia_Duration_min	Blood_Loss	Surgery_Duration_min	Transfusion_IOP	IOP_Complications	Resection_Margin	Microvascular_Invasion	MIlan_probability	Number_of_Organ_Failures	ACLF_Grade	Ascita_post_op	disf_renala_nonHRS_post_op	JaundiceBTgt3	Infection_post_op	Post_op_decomp	Recidive	Hospitalisation_days	APRI	APRI_0.74	FIB4	NLR	NLR_2.26	ALBI	ALBI__2.71	eLIFT	eLIFT_12.5	CRP_Albumine_ratio	VARSTA_ELIFT	SEX_ELIFT	AST_ELIFT	GGT_ELIFT	IP_ELIFT	PLT_ELIFT	df_index
0	0.0	5.0	0.0	1.0	2.0	57.0	1.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	150.000000	1	87.0	1.0	1.0	0.0	10.1	0.0	0.0	0.0	8.0	1.0	0.0	0.0	7.0	8.0	20.0	11.0	266.0	38.0	0.7	0.00	0.66	0.65	138.0	87.0	1.10	4.3	1.772614	33.20	0.0	2.0	0.0	3.5	5.5	1.0	0.0	130.0	200.0	120.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	9.0	0.656814	0.0	2.382445	1.015385	0.0	-2.952058	1.0	11.0	0.0	0.412236	3.0	1.0	0.0	1.0	2.0	4.0	1.0
1	0.0	6.0	0.0	1.0	2.0	77.0	2.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	129.471264	1	179.0	0.0	0.0	0.0	13.9	0.0	0.0	1.0	12.0	0.0	0.0	0.0	7.0	7.0	73.0	47.0	154.0	72.0	0.5	0.66	4.12	2.05	142.0	95.0	1.03	2.9	1.772614	8.75	0.0	2.0	0.0	3.5	5.3	1.0	0.0	150.0	0.0	125.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	57.0	1.165204	1.0	1.336265	2.009756	0.0	-1.855702	0.0	11.0	0.0	0.611246	3.0	0.0	4.0	1.0	2.0	1.0	2.0
2	0.0	6.0	0.0	3.0	3.0	69.0	1.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	122.000000	1	96.0	1.0	0.0	0.0	20.4	1.0	1.0	1.0	10.0	1.0	1.0	1.0	10.0	10.0	34.0	18.0	363.0	68.0	0.8	0.73	2.89	1.88	141.0	65.0	1.37	3.3	6.480000	45.00	0.0	2.0	0.0	3.5	0.4	0.0	0.0	120.0	50.0	120.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	7.0	1.011905	1.0	2.715278	1.537234	0.0	-2.061783	0.0	13.0	1.0	1.963636	3.0	1.0	0.0	1.0	4.0	4.0	3.0
3	0.0	7.0	1.0	3.0	2.0	62.0	1.0	3.0	0.0	0.0	0.0	0.0	0.0	1.0	129.471264	1	172.0	0.0	0.0	0.0	38.0	1.0	1.0	1.0	14.0	1.0	0.0	0.0	9.0	9.0	54.0	54.0	544.0	114.0	0.9	1.13	46.00	1.27	144.0	83.0	1.15	2.4	1.772614	8.00	0.0	2.0	0.0	3.5	7.0	1.0	0.0	140.0	300.0	120.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	12.0	0.897010	1.0	0.720930	36.220472	1.0	-1.261223	0.0	13.0	1.0	0.738589	3.0	1.0	2.0	2.0	4.0	1.0	4.0
4	1.0	5.0	0.0	1.0	2.0	72.0	2.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	110.000000	0	274.0	0.0	0.0	0.0	21.1	1.0	1.0	0.0	9.0	0.0	0.0	0.0	7.0	9.0	41.0	33.0	153.0	114.0	0.8	0.00	5.60	2.50	141.0	87.0	1.10	4.2	1.772614	10.00	0.0	1.0	0.0	3.5	6.0	1.0	0.0	130.0	400.0	120.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	19.0	0.427529	0.0	0.652953	2.240000	0.0	-2.828583	1.0	9.0	0.0	0.422051	3.0	0.0	2.0	2.0	2.0	0.0	5.0
5	0.0	7.0	1.0	1.0	2.0	68.0	2.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	160.000000	1	70.0	1.0	1.0	0.0	11.4	0.0	0.0	1.0	15.0	1.0	1.0	1.0	12.0	12.0	36.0	51.0	527.0	26.0	1.3	0.56	3.20	1.04	142.0	56.0	1.53	0.0	1.772614	2.80	0.0	1.0	0.0	3.5	3.0	0.0	0.0	100.0	300.0	90.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	8.0	1.469388	1.0	1.371429	3.076923	1.0	-2.604220	0.0	13.0	1.0	inf	3.0	0.0	2.0	0.0	4.0	4.0	6.0
6	0.0	5.0	0.0	1.0	2.0	61.0	1.0	2.0	1.0	0.0	0.0	0.0	0.0	0.0	160.000000	1	150.0	0.0	0.0	0.0	13.0	0.0	0.0	0.0	5.0	1.0	0.0	1.0	19.0	19.0	39.0	54.0	203.0	62.0	0.3	3.13	2.83	2.46	140.0	73.0	1.18	3.7	1.450000	4.20	0.0	2.0	0.0	3.5	6.3	1.0	0.0	220.0	700.0	200.0	1.0	1.0	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	16.0	0.742857	1.0	0.587407	1.150407	0.0	-2.683723	0.0	15.0	1.0	0.391892	3.0	1.0	2.0	1.0	4.0	4.0	7.0
7	0.0	6.0	0.0	4.0	3.0	57.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	77.000000	0	279.0	0.0	0.0	0.0	6.0	0.0	0.0	0.0	5.0	0.0	0.0	0.0	6.0	6.0	18.0	9.0	275.0	65.0	0.5	0.91	3.50	4.01	141.0	103.0	0.98	2.8	1.772614	8.75	0.0	4.0	1.0	3.5	5.7	1.0	1.0	130.0	300.0	120.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	7.0	0.184332	0.0	0.817204	0.872818	0.0	-1.770502	0.0	5.0	0.0	0.633076	3.0	1.0	0.0	1.0	0.0	0.0	8.0
8	0.0	8.0	1.0	1.0	2.0	68.0	2.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	160.000000	1	66.0	1.0	1.0	1.0	22.8	1.0	1.0	1.0	18.0	1.0	1.0	1.0	13.0	13.0	57.0	44.0	434.0	22.0	2.2	0.44	2.26	1.12	141.0	54.0	1.41	2.8	1.772614	8.75	1.0	1.0	0.0	3.5	6.5	1.0	0.0	130.0	350.0	120.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	20.0	2.467532	1.0	2.669421	2.017857	0.0	-1.345824	0.0	13.0	1.0	0.633076	3.0	0.0	2.0	0.0	4.0	4.0	9.0
9	0.0	9.0	1.0	1.0	2.0	62.0	1.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	125.000000	1	115.0	0.0	0.0	0.0	55.1	1.0	1.0	1.0	14.0	1.0	1.0	1.0	16.0	26.0	63.0	40.0	346.0	26.0	3.2	0.99	5.92	3.44	104.0	54.8	1.52	0.0	1.772614	957.00	0.0	2.0	0.0	3.5	3.0	0.0	1.0	210.0	1000.0	210.0	1.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	12.0	1.565217	1.0	1.698261	1.720930	0.0	-2.346024	0.0	14.0	1.0	inf	3.0	1.0	2.0	0.0	4.0	4.0	10.0

	Survival	CHILD_score	CHILD_clasif	Nr_nodules	BCLC_class	Age	Sex	Etiology	DAA_before_dg	EV	Grade	Spleen	Splenomegaly_0no	Platelets	Platelets_less_100000	splenomegaly_Tr_sub_10	Ascites	LiverStiffnes	FS_19kPa	FS_13.6	CSPH	HVPG	MELD_8	CSPH_MELD_10	MELD_more_than_10	MELD	MELDNa	AST	ALT	FA	GGT	Bilirubine	Creatinine	Neutrophils	Lymphocytes	Natrium	IP	INR	Albumine	CRP	AFP	Segment	Size_each_nodule	Size_total	Laparoscopy	RFA_IOP	Anesthesia_Duration_min	Blood_Loss	Surgery_Duration_min	MIlan_probability	Ascita_post_op	Post_op_decomp	Hospitalisation_days	APRI	APRI_0.74	FIB4	FIB4_3.74	NLR	NLR_2.26	ALBI	ALBI__2.71	eLIFT	eLIFT_12.5	CRP_Albumine_ratio	FIB_3.74	VARSTA_ELIFT	SEX_ELIFT	AST_ELIFT	GGT_ELIFT	IP_ELIFT	PLT_ELIFT	df_index
119	1.0	5.0	0.0	2.0	3.0	69.0	2.0	1.0	1.0	0.0	0.0	119.000000	0	139.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	4.0	0.0	0.0	0.0	7.0	8.0	331.0	265.0	48.0	17.0	1.500	0.63	12.58	0.23	136.8	59.0	1.44	4.01	3.380000	6.11	4.0	5.0	6.0	1.0	1.0	120.0	400.0	120.0	0.0	0.0	0.0	14.0	6.803700	1.0	1.240071	0.0	54.695652	1.0	-2.486522	1.0	15.0	1.0	0.842893	0.0	3.0	0.0	4.0	0.0	4.0	4.0	120.0
120	1.0	5.0	0.0	1.0	2.0	63.0	1.0	3.0	0.0	0.0	0.0	119.000000	0	52.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	8.0	1.0	0.0	0.0	8.0	8.0	35.2	33.0	88.7	73.6	0.560	1.03	4.57	1.32	139.8	89.0	1.08	4.94	0.150000	8.75	2.0	6.0	6.0	0.0	1.0	175.0	2000.0	175.0	0.0	0.0	0.0	15.0	1.934066	1.0	2.584615	0.0	3.462121	1.0	-3.561298	1.0	13.0	1.0	0.030364	0.0	3.0	1.0	2.0	1.0	2.0	4.0	121.0
121	1.0	10.0	3.0	1.0	3.0	54.0	2.0	2.0	0.0	1.0	1.0	140.000000	1	24.0	1.0	1.0	1.0	13.9	0.0	0.0	0.0	4.0	1.0	1.0	1.0	14.0	19.0	62.6	24.2	103.0	23.0	3.400	0.83	1.99	2.84	138.0	40.0	2.00	2.99	0.200000	5.46	1.0	3.0	3.0	1.0	1.0	135.0	200.0	135.0	1.0	0.0	0.0	16.0	7.452381	1.0	11.640496	1.0	0.700704	0.0	-1.382926	1.0	13.0	1.0	0.066890	1.0	3.0	0.0	2.0	0.0	4.0	4.0	122.0
122	1.0	5.0	0.0	1.0	2.0	66.0	1.0	2.0	0.0	0.0	0.0	129.471264	1	142.0	0.0	0.0	0.0	15.7	0.0	1.0	1.0	13.0	0.0	0.0	0.0	6.0	6.0	30.0	17.0	61.3	58.0	0.518	0.82	5.67	1.07	140.0	92.0	1.00	4.31	0.310000	8.75	1.0	7.0	7.0	0.0	1.0	100.0	700.0	100.0	0.0	0.0	0.0	5.0	0.603622	0.0	1.640431	0.0	5.299065	1.0	-3.046885	1.0	11.0	1.0	0.071926	0.0	3.0	1.0	0.0	1.0	2.0	4.0	123.0
123	1.0	5.0	0.0	1.0	2.0	66.0	1.0	2.0	0.0	0.0	0.0	167.000000	1	117.0	0.0	0.0	1.0	13.9	0.0	0.0	1.0	15.0	1.0	0.0	0.0	9.0	9.0	22.0	19.0	92.0	71.5	0.790	0.71	3.83	0.50	137.0	79.0	1.20	3.85	1.772614	8.75	2.0	6.0	6.0	1.0	1.0	80.0	150.0	80.0	0.0	0.0	0.0	14.0	0.537241	0.0	1.306343	0.0	7.660000	1.0	-2.533989	1.0	13.0	1.0	0.460419	0.0	3.0	1.0	0.0	1.0	4.0	4.0	124.0
124	1.0	5.0	0.0	1.0	1.0	70.0	1.0	3.0	0.0	0.0	0.0	119.000000	0	145.0	0.0	0.0	0.0	13.9	0.0	0.0	0.0	9.0	1.0	1.0	1.0	11.0	14.0	29.0	27.0	84.0	72.0	2.060	0.91	2.62	1.45	138.0	56.0	1.50	4.16	1.772614	8.75	1.0	4.0	4.0	1.0	1.0	150.0	150.0	150.0	1.0	0.0	0.0	10.0	0.571429	0.0	1.037037	0.0	1.806897	1.0	-2.523390	1.0	13.0	1.0	0.426109	0.0	3.0	1.0	0.0	1.0	4.0	4.0	125.0
125	0.0	5.0	0.0	1.0	1.0	57.0	1.0	1.0	0.0	0.0	0.0	119.000000	0	82.0	1.0	0.0	0.0	31.2	1.0	1.0	0.0	9.0	1.0	0.0	0.0	8.0	10.0	117.0	139.0	103.0	291.0	1.360	0.66	1.95	1.47	139.8	77.0	1.20	4.34	1.772614	8.75	2.0	5.0	5.0	0.0	1.0	270.0	200.0	270.0	1.0	1.0	1.0	30.0	4.076655	1.0	1.170205	0.0	1.326531	1.0	-2.795767	1.0	18.0	1.0	0.408436	0.0	3.0	1.0	4.0	2.0	4.0	4.0	126.0
126	1.0	6.0	0.0	1.0	1.0	67.0	2.0	2.0	0.0	0.0	0.0	129.471264	1	164.0	0.0	0.0	0.0	13.9	0.0	0.0	1.0	13.0	0.0	0.0	0.0	7.0	8.0	26.2	139.0	98.0	79.0	1.230	0.62	7.80	1.95	142.9	96.0	1.03	3.23	1.772614	8.75	1.0	2.3	2.3	1.0	1.0	60.0	100.0	60.0	1.0	0.0	0.0	11.0	0.456446	0.0	0.154009	0.0	4.000000	1.0	-1.878845	1.0	10.0	1.0	0.548797	0.0	3.0	0.0	0.0	1.0	2.0	4.0	127.0
127	1.0	5.0	0.0	1.0	1.0	63.0	1.0	2.0	0.0	0.0	0.0	129.471264	1	117.0	0.0	0.0	0.0	13.9	0.0	0.0	1.0	12.0	1.0	1.0	0.0	10.0	10.0	55.0	59.0	45.4	38.8	0.880	0.65	3.35	0.70	138.0	65.0	1.32	3.14	3.230000	8.75	2.0	3.0	3.0	0.0	1.0	150.0	300.0	150.0	1.0	0.0	0.0	7.0	1.343101	1.0	1.003911	0.0	4.785714	1.0	-1.898144	1.0	15.0	1.0	1.028662	0.0	3.0	1.0	2.0	1.0	4.0	4.0	128.0
128	1.0	5.0	0.0	1.0	1.0	71.0	1.0	1.0	0.0	0.0	0.0	119.000000	0	147.0	0.0	0.0	0.0	13.9	0.0	0.0	0.0	4.0	1.0	0.0	0.0	9.0	9.0	25.3	98.0	57.0	42.0	0.750	0.67	6.31	2.54	140.0	72.0	1.26	4.10	6.000000	2.00	1.0	2.5	2.5	0.0	1.0	130.0	100.0	130.0	0.0	0.0	0.0	5.0	0.491740	0.0	0.249382	0.0	2.484252	1.0	-2.761882	1.0	13.0	1.0	1.463415	0.0	3.0	1.0	0.0	1.0	4.0	4.0	129.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation